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Be Consistent! Improving Procedural Text Comprehension using Label Consistency.

, , , , , , and . NAACL-HLT (1), page 2347-2356. Association for Computational Linguistics, (2019)

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Deriving a Web-Scale Common Sense Fact Database., , and . AAAI, AAAI Press, (2011)Multimedia Data for the Visually Impaired., , and . AAAI, page 4210-4211. AAAI Press, (2015)Movie Description., , , , , , , and . CoRR, (2016)Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text., , , , and . CoRR, (2019)Reasoning about Actions and State Changes by Injecting Commonsense Knowledge., , , , , and . EMNLP, page 57-66. Association for Computational Linguistics, (2018)Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text., , , , and . EMNLP/IJCNLP (1), page 4495-4504. Association for Computational Linguistics, (2019)Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags., , , , , and . AAAI, page 243-250. AAAI Press, (2016)Commonsense knowledge acquisition and applications.. Saarland University, Saarbrücken, Germany, (2016)Be Consistent! Improving Procedural Text Comprehension using Label Consistency., , , , , , and . NAACL-HLT (1), page 2347-2356. Association for Computational Linguistics, (2019)Markov Chains for Robust Graph-Based Commonsense Information Extraction., , and . COLING (Demos), page 439-446. Indian Institute of Technology Bombay, (2012)